# encoding_mcp

> Use this tool when you need to manage and track changes in your codebase, as it utilizes git capabilities to record and version control modifications. The encoding_mcp tool solves problems related to code collaboration, versioning, and change tracking, providing a clear audit trail of updates. It takes in code commits and outputs a recorded history of changes, making it ideal for development teams working on collaborative projects.

Canonical page: https://skillsregistry.net/skills/whyjp-encoding-mcp  
JSON: https://api.skillsregistry.net/v1/skills/whyjp-encoding-mcp

## Trust

- **Trust score (0–1):** 0.72
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/whyjp/encoding_mcp)
- **Repository:** <https://github.com/whyjp/encoding_mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "whyjp-encoding-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/whyjp-encoding-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/whyjp-encoding-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt